MacBook Pro (16-inch, 2021)
Geekbench AI Score
2125
Single Precision Score
12831
Half Precision Score
10242
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | welduyeyet |
| Upload Date | September 16 2024 06:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
946
175.9 IPS |
|
|
Image Classification (HP)
|
100% |
7169
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
6365
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3861
62.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
521
8.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
10157
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
68600
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65063
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
1067
84.7 IPS |
|
|
Object Detection (HP)
|
99% |
7406
589.2 IPS |
|
|
Object Detection (Q)
|
93% |
7242
577.9 IPS |
|
|
Face Detection (SP)
|
100% |
1923
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
11169
132.7 IPS |
|
|
Face Detection (Q)
|
100% |
11743
139.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3622
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46142
355.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
54225
423.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12142
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
117402
150.9 IPS |
|
|
Style Transfer (Q)
|
96% |
114370
147.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2436
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18757
692.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23125
853.9 IPS |
|
|
Text Classification (SP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (Q)
|
93% |
2250
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2146
37.1 IPS |
