MacBook Pro (16-inch, 2021)
Geekbench AI Score
3605
Single Precision Score
5979
Half Precision Score
4807
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | wolemacintosha |
| Upload Date | March 15 2026 12:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1331
247.6 IPS |
|
|
Image Classification (HP)
|
100% |
2065
384.1 IPS |
|
|
Image Classification (Q)
|
96% |
1499
279.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2246
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2590
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10494
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22995
26.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17678
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
97% |
2349
187.0 IPS |
|
|
Object Detection (Q)
|
94% |
1732
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5484
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3187
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5655
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10550
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7306
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22137
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35176
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28079
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4104
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5418
200.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4027
148.7 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4098
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4097
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2986
51.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5164
89.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5147
89.0 IPS |
