MacBook Pro (16-inch, 2021)
Geekbench AI Score
3783
Single Precision Score
5833
Half Precision Score
4780
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tralston |
| Upload Date | December 05 2024 08:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2046
380.5 IPS |
|
|
Image Classification (Q)
|
96% |
1450
270.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2399
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2696
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11053
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22086
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17184
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1618
128.3 IPS |
|
|
Object Detection (HP)
|
97% |
2365
188.3 IPS |
|
|
Object Detection (Q)
|
94% |
1752
139.7 IPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
5249
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
3209
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6020
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11136
86.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7451
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22482
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35415
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27371
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4355
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6312
233.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4072
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4026
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3424
59.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4938
85.3 IPS |
