MacBook Pro (16-inch, 2021)
Geekbench AI Score
3580
Single Precision Score
5946
Half Precision Score
4784
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | barmanracing |
| Upload Date | January 27 2026 07:38 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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% |
1327
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
2066
384.1 IPS |
|
|
Image Classification (Q)
|
96% |
1506
281.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2255
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2599
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10424
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22919
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17742
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
97% |
2348
186.9 IPS |
|
|
Object Detection (Q)
|
94% |
1730
137.9 IPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5464
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3169
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5653
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10433
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7274
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22048
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35091
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27950
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4066
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5501
203.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4012
148.2 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3939
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3923
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2946
50.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5091
88.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5159
89.2 IPS |
