MacBook Pro (16-inch, 2021)
Geekbench AI Score
2658
Single Precision Score
4100
Half Precision Score
3562
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 25 2024 03:48 PM |
| Views | 2 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1204
223.9 IPS |
|
|
Image Classification (HP)
|
100% |
1577
293.2 IPS |
|
|
Image Classification (Q)
|
96% |
1225
228.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1655
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5467
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
12796
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11120
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1316
104.4 IPS |
|
|
Object Detection (HP)
|
97% |
1831
145.8 IPS |
|
|
Object Detection (Q)
|
94% |
1437
114.5 IPS |
|
|
Face Detection (SP)
|
100% |
2410
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
3796
45.1 IPS |
|
|
Face Detection (Q)
|
100% |
2491
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4884
37.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
7718
59.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5935
46.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14525
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23342
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19926
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3246
119.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4248
156.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3258
120.3 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3593
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3552
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3030
52.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2981
51.5 IPS |
