MacBook Pro (16-inch, 2021)
Geekbench ML Score
7943
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 11:57 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.22 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% |
4406
824.5 IPS |
|
|
Image Classification (F16)
|
100% |
6722
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
7228
1.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1350
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1340
22.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1242
20.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
51681
62.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
63104
76.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
65139
78.9 IPS |
|
|
Object Detection (F32)
|
100% |
3132
233.8 IPS |
|
|
Object Detection (F16)
|
100% |
4429
330.6 IPS |
|
|
Object Detection (I8)
|
97% |
2939
219.5 IPS |
|
|
Face Detection (F32)
|
100% |
16293
193.7 IPS |
|
|
Face Detection (F16)
|
97% |
10302
122.5 IPS |
|
|
Face Detection (I8)
|
96% |
10045
119.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
24810
192.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
36869
285.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
36353
281.9 IPS |
|
|
Style Transfer (F32)
|
100% |
78451
103.2 IPS |
|
|
Style Transfer (F16)
|
100% |
110461
145.3 IPS |
|
|
Style Transfer (I8)
|
100% |
117195
154.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11510
411.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16757
598.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17279
617.1 IPS |
|
|
Text Classification (F32)
|
100% |
450
646.6 IPS |
|
|
Text Classification (F16)
|
100% |
1948
2.80 KIPS |
|
|
Text Classification (I8)
|
96% |
2015
2.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
784
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1317
24.2 IPS |
|
|
Machine Translation (I8)
|
99% |
695
12.8 IPS |
