MacBook Pro (14-inch, 2021)
Geekbench ML Score
8351
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mpoloton |
| Upload Date | July 26 2024 10:02 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4459
834.4 IPS |
|
|
Image Classification (F16)
|
100% |
6724
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
7119
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1709
28.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1490
24.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1474
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
51781
62.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
62463
75.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
62661
75.9 IPS |
|
|
Object Detection (F32)
|
100% |
3423
255.5 IPS |
|
|
Object Detection (F16)
|
100% |
4302
321.1 IPS |
|
|
Object Detection (I8)
|
97% |
3164
236.2 IPS |
|
|
Face Detection (F32)
|
100% |
16389
194.9 IPS |
|
|
Face Detection (F16)
|
97% |
10051
119.5 IPS |
|
|
Face Detection (I8)
|
96% |
10788
128.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
24736
191.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
31596
245.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
33344
258.6 IPS |
|
|
Style Transfer (F32)
|
100% |
88897
116.9 IPS |
|
|
Style Transfer (F16)
|
100% |
112565
148.1 IPS |
|
|
Style Transfer (I8)
|
100% |
116246
152.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12004
428.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16126
575.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16509
589.6 IPS |
|
|
Text Classification (F32)
|
100% |
1145
1.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1971
2.83 KIPS |
|
|
Text Classification (I8)
|
96% |
1888
2.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
824
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1407
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
698
12.9 IPS |
