MacBook Pro (16-inch, 2021)
Geekbench AI Score
2750
Single Precision Score
4200
Half Precision Score
3470
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | compaqdrew |
| Upload Date | August 18 2024 10:40 PM |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
1602
297.9 IPS |
|
|
Image Classification (Q)
|
99% |
1606
299.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1194
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1175
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5585
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
13005
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11150
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (HP)
|
97% |
1881
149.7 IPS |
|
|
Object Detection (Q)
|
94% |
1457
116.1 IPS |
|
|
Face Detection (SP)
|
100% |
2599
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
4019
47.8 IPS |
|
|
Face Detection (Q)
|
100% |
2546
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4994
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7782
60.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
3678
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14741
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23632
30.4 IPS |
|
|
Style Transfer (Q)
|
100% |
23619
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3292
121.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4325
159.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3266
121.0 IPS |
|
|
Text Classification (SP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3648
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3646
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1553
26.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3177
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3143
54.3 IPS |
