MacBook Pro (14-inch, 2021)
Geekbench AI Score
3602
Single Precision Score
15562
Half Precision Score
15771
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Skyforger |
| Upload Date | March 07 2026 08:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1284
238.8 IPS |
|
|
Image Classification (HP)
|
100% |
5966
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5694
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9163
148.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9886
160.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10505
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
67686
79.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66158
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
7491
595.9 IPS |
|
|
Object Detection (Q)
|
91% |
6565
524.6 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
13160
156.4 IPS |
|
|
Face Detection (Q)
|
100% |
12396
147.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5684
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44804
345.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
46437
362.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22106
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
115478
148.4 IPS |
|
|
Style Transfer (Q)
|
96% |
109433
141.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4088
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24562
906.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25487
941.1 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4176
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4078
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3015
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4306
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5950
102.8 IPS |
