MacBook Pro (14-inch, 2021)
Geekbench AI Score
3759
Single Precision Score
13959
Half Precision Score
14368
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | neon_sunset |
| Upload Date | August 16 2024 10:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1328
247.0 IPS |
|
|
Image Classification (HP)
|
100% |
6966
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
7407
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5901
95.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5902
95.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11178
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
68627
80.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
64226
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
7390
587.8 IPS |
|
|
Object Detection (Q)
|
91% |
7437
594.3 IPS |
|
|
Face Detection (SP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
12036
143.0 IPS |
|
|
Face Detection (Q)
|
100% |
13516
160.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5968
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46003
354.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
49475
382.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22587
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
116579
149.9 IPS |
|
|
Style Transfer (Q)
|
100% |
122029
156.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4389
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25811
953.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27732
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3738
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3691
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2151
37.2 IPS |
