MacBook Pro (16-inch, 2021)
Geekbench AI Score
3624
Single Precision Score
16253
Half Precision Score
16403
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | tmaier |
| Upload Date | March 17 2026 06:32 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
6831
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6694
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9591
155.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10279
166.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11091
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
72095
84.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
68187
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
99% |
7912
629.4 IPS |
|
|
Object Detection (Q)
|
91% |
7425
593.3 IPS |
|
|
Face Detection (SP)
|
100% |
3074
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
16013
190.3 IPS |
|
|
Face Detection (Q)
|
100% |
15260
181.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5706
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
52230
402.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53931
421.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22178
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121598
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
117531
151.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4377
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25944
958.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28000
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2055
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3577
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3949
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3647
62.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3786
65.4 IPS |
