MacBook Pro (14-inch, 2021)
Geekbench AI Score
8231
Single Precision Score
9084
Half Precision Score
8195
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 06 2025 04:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3767
700.5 IPS |
|
|
Image Classification (HP)
|
100% |
3949
734.5 IPS |
|
|
Image Classification (Q)
|
96% |
3572
667.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6749
109.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6827
110.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6473
104.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29807
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32228
37.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
31090
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
3742
296.8 IPS |
|
|
Object Detection (HP)
|
100% |
3904
309.7 IPS |
|
|
Object Detection (Q)
|
92% |
3594
286.9 IPS |
|
|
Face Detection (SP)
|
100% |
13250
157.4 IPS |
|
|
Face Detection (HP)
|
100% |
13782
163.8 IPS |
|
|
Face Detection (Q)
|
100% |
11850
140.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17384
133.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16603
127.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
15286
119.4 IPS |
|
|
Style Transfer (SP)
|
100% |
50145
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
59719
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58353
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10509
388.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11246
415.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9765
360.6 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4015
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1808
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1813
31.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1277
22.1 IPS |
