MacBook Pro (14-inch, 2021)
Geekbench AI Score
3378
Single Precision Score
5647
Half Precision Score
4535
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 02 2025 04:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1287
239.4 IPS |
|
|
Image Classification (HP)
|
100% |
1924
357.8 IPS |
|
|
Image Classification (Q)
|
96% |
1391
259.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2480
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10208
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21168
24.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16419
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
1474
117.0 IPS |
|
|
Object Detection (HP)
|
97% |
2188
174.2 IPS |
|
|
Object Detection (Q)
|
94% |
1624
129.4 IPS |
|
|
Face Detection (SP)
|
100% |
2932
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5080
60.4 IPS |
|
|
Face Detection (Q)
|
100% |
3050
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5258
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9747
75.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6982
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20213
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32969
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26314
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3685
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5743
212.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3911
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
2180
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3860
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3901
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2737
47.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4672
80.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4684
81.0 IPS |
