MacBook Pro (14-inch, 2021)
Geekbench AI Score
3657
Single Precision Score
5833
Half Precision Score
4707
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Hellsegga |
| Upload Date | August 21 2025 07:42 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
2038
379.0 IPS |
|
|
Image Classification (Q)
|
96% |
1504
280.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2600
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11027
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22435
26.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16990
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2295
182.7 IPS |
|
|
Object Detection (Q)
|
94% |
1725
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
5077
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
3101
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5794
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10310
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7106
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21939
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31929
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26942
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4330
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4054
149.7 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4040
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4839
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4833
83.5 IPS |
