MacBook Pro (14-inch, 2021)
Geekbench AI Score
3660
Single Precision Score
16501
Half Precision Score
16455
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Hulkstern |
| Upload Date | September 26 2025 12:15 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1341
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
6926
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6640
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9696
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10446
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11039
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71361
83.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
67886
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
8015
637.6 IPS |
|
|
Object Detection (Q)
|
91% |
7537
602.2 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
16095
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15041
178.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5810
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51599
397.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
53890
421.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21982
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120304
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115731
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4338
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26089
963.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27952
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4046
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3098
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3707
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3866
66.8 IPS |
