MacBook Pro (16-inch, 2021)
Geekbench AI Score
7330
Single Precision Score
7426
Half Precision Score
2396
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | welduyeyet |
| Upload Date | September 16 2024 06:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| 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% |
3698
687.7 IPS |
|
|
Image Classification (HP)
|
100% |
3720
691.8 IPS |
|
|
Image Classification (Q)
|
97% |
2904
542.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6004
97.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6122
99.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5896
95.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32934
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34304
40.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
30777
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
3740
296.6 IPS |
|
|
Object Detection (HP)
|
100% |
3913
310.4 IPS |
|
|
Object Detection (Q)
|
92% |
3016
240.8 IPS |
|
|
Face Detection (SP)
|
100% |
12658
150.4 IPS |
|
|
Face Detection (HP)
|
100% |
13330
158.4 IPS |
|
|
Face Detection (Q)
|
100% |
9260
110.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19528
150.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20105
154.9 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
121.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53438
68.7 IPS |
|
|
Style Transfer (HP)
|
100% |
63113
81.1 IPS |
|
|
Style Transfer (Q)
|
96% |
59704
77.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11037
407.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11668
430.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8615
318.1 IPS |
|
|
Text Classification (SP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (Q)
|
93% |
806
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1026
17.7 IPS |
