MacBook Pro (16-inch, 2021)
Geekbench AI Score
2824
Single Precision Score
4278
Half Precision Score
3691
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 03:17 AM |
| Views | 1 |
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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1280
238.1 IPS |
|
|
Image Classification (HP)
|
100% |
1632
303.4 IPS |
|
|
Image Classification (Q)
|
96% |
1280
239.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1218
19.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1700
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5594
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
13098
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11372
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
97% |
1898
151.1 IPS |
|
|
Object Detection (Q)
|
94% |
1479
117.9 IPS |
|
|
Face Detection (SP)
|
100% |
2663
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
3973
47.2 IPS |
|
|
Face Detection (Q)
|
100% |
2639
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5090
39.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7919
61.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6056
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15251
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24233
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20368
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3358
124.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4587
169.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3367
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3642
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3589
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1665
28.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3263
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3263
56.4 IPS |
