MacBook Pro (14-inch, 2021)
Geekbench AI Score
8597
Single Precision Score
9668
Half Precision Score
8780
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 15 2025 10:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4126
767.3 IPS |
|
|
Image Classification (HP)
|
100% |
4254
791.1 IPS |
|
|
Image Classification (Q)
|
96% |
3936
734.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7345
119.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7528
122.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7182
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32863
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
35886
41.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34643
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
4021
318.9 IPS |
|
|
Object Detection (HP)
|
100% |
4133
327.8 IPS |
|
|
Object Detection (Q)
|
92% |
3866
308.6 IPS |
|
|
Face Detection (SP)
|
100% |
14011
166.5 IPS |
|
|
Face Detection (HP)
|
100% |
14861
176.6 IPS |
|
|
Face Detection (Q)
|
100% |
12800
152.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20040
154.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19245
148.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
17556
137.1 IPS |
|
|
Style Transfer (SP)
|
100% |
53897
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
64869
83.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63538
82.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11045
407.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11918
440.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10228
377.7 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4083
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1207
20.9 IPS |
