MacBook Pro (14-inch, 2021)
Geekbench AI Score
3807
Single Precision Score
16688
Half Precision Score
16429
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ahirz |
| Upload Date | August 24 2025 08:52 PM |
| 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% |
1396
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
7057
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6750
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1646
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9697
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10442
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11015
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71833
83.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
67948
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
1615
128.1 IPS |
|
|
Object Detection (HP)
|
99% |
8198
652.2 IPS |
|
|
Object Detection (Q)
|
91% |
7654
611.6 IPS |
|
|
Face Detection (SP)
|
100% |
3397
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
16103
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
13219
157.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5965
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
52174
402.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
54865
428.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22754
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
122404
157.4 IPS |
|
|
Style Transfer (Q)
|
96% |
118441
152.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4596
169.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26399
974.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28786
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4071
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4049
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3762
64.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3905
67.5 IPS |
