MacBook Pro (16-inch, 2021)
Geekbench AI Score
8832
Single Precision Score
9763
Half Precision Score
8795
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | barmanracing |
| Upload Date | January 27 2026 07:36 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3875
720.5 IPS |
|
|
Image Classification (HP)
|
100% |
3923
729.6 IPS |
|
|
Image Classification (Q)
|
94% |
3700
691.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7291
118.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7415
120.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7096
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32752
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35939
41.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34644
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3873
307.2 IPS |
|
|
Object Detection (HP)
|
100% |
3971
315.0 IPS |
|
|
Object Detection (Q)
|
91% |
3766
301.0 IPS |
|
|
Face Detection (SP)
|
100% |
14296
169.9 IPS |
|
|
Face Detection (HP)
|
100% |
15061
179.0 IPS |
|
|
Face Detection (Q)
|
100% |
13728
163.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19626
151.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18645
143.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
17583
137.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53667
69.0 IPS |
|
|
Style Transfer (HP)
|
100% |
64260
82.6 IPS |
|
|
Style Transfer (Q)
|
96% |
62813
81.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10415
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11096
409.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9724
359.1 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3945
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2395
41.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1390
24.0 IPS |
