MacBook Pro (14-inch, 2021)
Geekbench AI Score
9434
Single Precision Score
9604
Half Precision Score
9438
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Skyforger |
| Upload Date | March 07 2026 08:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4034
750.2 IPS |
|
|
Image Classification (HP)
|
100% |
4014
746.5 IPS |
|
|
Image Classification (Q)
|
94% |
3885
726.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7387
119.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7514
121.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7138
115.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32891
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36050
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34680
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3957
313.9 IPS |
|
|
Object Detection (HP)
|
100% |
4060
322.1 IPS |
|
|
Object Detection (Q)
|
91% |
3886
310.6 IPS |
|
|
Face Detection (SP)
|
100% |
14532
172.7 IPS |
|
|
Face Detection (HP)
|
100% |
15236
181.0 IPS |
|
|
Face Detection (Q)
|
100% |
13962
165.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19876
153.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18846
145.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17680
138.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53883
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
64564
83.0 IPS |
|
|
Style Transfer (Q)
|
96% |
63349
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10736
396.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11403
421.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9913
366.1 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4164
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4236
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3656
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1719
29.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2286
39.5 IPS |
