MacBook Pro (16-inch, 2021)
Geekbench ML Score
7833
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 20 2024 07:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.20 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% |
4281
801.1 IPS |
|
|
Image Classification (F16)
|
100% |
6631
1.24 KIPS |
|
|
Image Classification (I8)
|
99% |
6974
1.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1520
25.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1420
23.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1413
23.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
40522
49.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
63520
76.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
65596
79.4 IPS |
|
|
Object Detection (F32)
|
100% |
3283
245.1 IPS |
|
|
Object Detection (F16)
|
100% |
3651
272.6 IPS |
|
|
Object Detection (I8)
|
97% |
3073
229.4 IPS |
|
|
Face Detection (F32)
|
100% |
15154
180.2 IPS |
|
|
Face Detection (F16)
|
97% |
10241
121.8 IPS |
|
|
Face Detection (I8)
|
96% |
10334
122.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
24547
190.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
35417
274.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
35432
274.8 IPS |
|
|
Style Transfer (F32)
|
100% |
80155
105.4 IPS |
|
|
Style Transfer (F16)
|
100% |
111313
146.4 IPS |
|
|
Style Transfer (I8)
|
100% |
113624
149.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11889
424.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17930
640.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16289
581.7 IPS |
|
|
Text Classification (F32)
|
100% |
512
736.4 IPS |
|
|
Text Classification (F16)
|
100% |
1916
2.75 KIPS |
|
|
Text Classification (I8)
|
96% |
2041
2.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
614
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1359
25.0 IPS |
|
|
Machine Translation (I8)
|
99% |
604
11.1 IPS |
