MacBook Pro (16-inch, 2021)
Geekbench AI Score
2758
Single Precision Score
4178
Half Precision Score
3643
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | welduyeyet |
| Upload Date | September 16 2024 06:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
1614
300.1 IPS |
|
|
Image Classification (Q)
|
96% |
1262
235.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1688
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5632
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
13083
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11376
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
97% |
1890
150.5 IPS |
|
|
Object Detection (Q)
|
94% |
1458
116.2 IPS |
|
|
Face Detection (SP)
|
100% |
2556
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
3871
46.0 IPS |
|
|
Face Detection (Q)
|
100% |
2637
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5067
39.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7867
60.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6015
46.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14663
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23596
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20138
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3314
122.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4224
156.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3255
120.2 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3585
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3134
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3129
54.1 IPS |
