MacBook Pro (14-inch, 2021)
Geekbench AI Score
8233
Single Precision Score
9179
Half Precision Score
8513
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hellisp |
| Upload Date | June 18 2025 06:42 PM |
| 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, 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% |
3762
699.7 IPS |
|
|
Image Classification (HP)
|
100% |
3880
721.5 IPS |
|
|
Image Classification (Q)
|
96% |
3576
667.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6758
109.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6788
110.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6504
105.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29768
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32245
37.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
31131
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3734
296.1 IPS |
|
|
Object Detection (HP)
|
100% |
3875
307.4 IPS |
|
|
Object Detection (Q)
|
92% |
3598
287.2 IPS |
|
|
Face Detection (SP)
|
100% |
12973
154.2 IPS |
|
|
Face Detection (HP)
|
100% |
13617
161.8 IPS |
|
|
Face Detection (Q)
|
100% |
11664
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17407
134.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16776
129.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
15199
118.7 IPS |
|
|
Style Transfer (SP)
|
100% |
50129
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59722
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58350
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10483
387.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11139
411.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9641
356.0 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4035
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4012
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1853
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1918
33.1 IPS |
