MacBook Pro (14-inch, 2021) GPU MacBook Pro (14-inch, 2021)
Geekbench AI Score
6865
Single Precision Score
6646
Half Precision Score
2225
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | chemeya |
| Upload Date | October 26 2025 06:10 AM |
| Views | 2 |
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 (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% |
3412
634.6 IPS |
|
|
Image Classification (HP)
|
100% |
3489
648.9 IPS |
|
|
Image Classification (Q)
|
97% |
2598
484.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5588
90.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5650
91.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5406
87.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29927
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30852
36.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
27628
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
3500
277.6 IPS |
|
|
Object Detection (HP)
|
100% |
3697
293.2 IPS |
|
|
Object Detection (Q)
|
92% |
2857
228.0 IPS |
|
|
Face Detection (SP)
|
100% |
11976
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
12376
147.1 IPS |
|
|
Face Detection (Q)
|
100% |
8404
99.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17024
131.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17363
133.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
107.4 IPS |
|
|
Style Transfer (SP)
|
100% |
49736
63.9 IPS |
|
|
Style Transfer (HP)
|
100% |
58366
75.0 IPS |
|
|
Style Transfer (Q)
|
96% |
53198
68.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10643
393.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11014
406.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8310
306.9 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
523
698.3 IPS |
|
|
Text Classification (Q)
|
93% |
700
939.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1036
17.9 IPS |
