MacBook Pro (16-inch, 2021)
Geekbench AI Score
3741
Single Precision Score
5758
Half Precision Score
4941
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | AdrienRL |
| Upload Date | August 16 2024 03:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1324
246.2 IPS |
|
|
Image Classification (HP)
|
100% |
2030
377.5 IPS |
|
|
Image Classification (Q)
|
99% |
2028
378.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2354
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11157
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21656
25.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16711
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2354
187.4 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
5421
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3061
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5851
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10920
84.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
10946
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22447
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35414
45.5 IPS |
|
|
Style Transfer (Q)
|
100% |
35324
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4350
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6174
228.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3967
147.0 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3802
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3789
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3352
57.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3511
60.7 IPS |
