MacBook Pro (14-inch, 2021)
Geekbench AI Score
3621
Single Precision Score
16181
Half Precision Score
16147
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nsddddddddd |
| Upload Date | March 09 2025 09:16 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
6907
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6579
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9663
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10438
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10805
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
69894
81.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67499
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
99% |
7902
628.6 IPS |
|
|
Object Detection (Q)
|
91% |
7458
595.9 IPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
15514
184.3 IPS |
|
|
Face Detection (Q)
|
100% |
14046
166.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5714
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51213
394.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
53659
419.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21805
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119875
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
116590
150.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4240
156.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25487
941.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27709
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2202
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3724
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3722
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3065
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3693
63.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3847
66.5 IPS |
