MacBook Pro (14-inch, 2021)
Geekbench AI Score
3676
Single Precision Score
5948
Half Precision Score
4758
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | SybrenV |
| Upload Date | August 05 2025 08:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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% |
1362
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
2071
385.2 IPS |
|
|
Image Classification (Q)
|
96% |
1499
279.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2551
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11099
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23186
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17613
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2330
185.5 IPS |
|
|
Object Detection (Q)
|
94% |
1713
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
3302
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5470
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3169
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5820
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10204
78.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7239
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22438
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35247
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28111
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4215
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5608
207.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3995
147.5 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3987
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3931
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3073
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5113
88.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5094
88.0 IPS |
