MacBook Pro (14-inch, 2021)
Geekbench AI Score
3626
Single Precision Score
15393
Half Precision Score
15649
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | astazyx |
| Upload Date | September 13 2025 09:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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% |
1332
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
6000
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5775
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9289
150.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9967
161.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10458
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
67542
78.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
62651
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
99% |
6963
553.9 IPS |
|
|
Object Detection (Q)
|
91% |
6633
530.0 IPS |
|
|
Face Detection (SP)
|
100% |
3311
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
12946
153.8 IPS |
|
|
Face Detection (Q)
|
100% |
12231
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5717
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
44438
342.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
45970
359.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22191
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
115972
149.1 IPS |
|
|
Style Transfer (Q)
|
96% |
109302
141.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4152
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24061
888.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25628
946.3 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4159
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4115
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3014
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4270
73.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5682
98.2 IPS |
