MacBook Pro (14-inch, 2021)
Geekbench AI Score
3674
Single Precision Score
16511
Half Precision Score
16434
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | nike_sg |
| Upload Date | November 28 2025 01:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
6939
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6641
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9695
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10438
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11016
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70466
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67525
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
99% |
7939
631.5 IPS |
|
|
Object Detection (Q)
|
91% |
7566
604.5 IPS |
|
|
Face Detection (SP)
|
100% |
3242
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
16090
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
14943
177.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5815
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51670
398.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53833
420.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22021
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121205
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
117087
151.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4337
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26174
966.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28044
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4094
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3994
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3089
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3706
63.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3846
66.5 IPS |
