MacBook Pro (16-inch, 2021)
Geekbench AI Score
2686
Single Precision Score
4104
Half Precision Score
3383
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | sfederman |
| Upload Date | August 23 2024 12:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1252
232.9 IPS |
|
|
Image Classification (HP)
|
100% |
1599
297.3 IPS |
|
|
Image Classification (Q)
|
99% |
1557
290.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1182
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5447
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
12738
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
10961
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.8 IPS |
|
|
Object Detection (HP)
|
97% |
1854
147.6 IPS |
|
|
Object Detection (Q)
|
94% |
1430
114.0 IPS |
|
|
Face Detection (SP)
|
100% |
2526
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (Q)
|
100% |
2579
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4846
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7683
59.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
3371
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14164
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22454
28.9 IPS |
|
|
Style Transfer (Q)
|
100% |
22695
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3258
120.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4157
153.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3197
118.5 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3575
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3545
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3077
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3051
52.7 IPS |
