MacBook Pro (16-inch, 2021)
Geekbench AI Score
8664
Single Precision Score
9545
Half Precision Score
9014
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 02 2025 11:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4104
763.3 IPS |
|
|
Image Classification (HP)
|
100% |
4133
768.5 IPS |
|
|
Image Classification (Q)
|
96% |
3845
718.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7294
118.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7506
121.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7118
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32674
38.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
36052
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34754
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3987
316.2 IPS |
|
|
Object Detection (HP)
|
100% |
4152
329.3 IPS |
|
|
Object Detection (Q)
|
92% |
3854
307.6 IPS |
|
|
Face Detection (SP)
|
100% |
13904
165.2 IPS |
|
|
Face Detection (HP)
|
100% |
14667
174.3 IPS |
|
|
Face Detection (Q)
|
100% |
12727
151.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20074
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19129
147.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
17345
135.5 IPS |
|
|
Style Transfer (SP)
|
100% |
54124
69.6 IPS |
|
|
Style Transfer (HP)
|
100% |
64814
83.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63415
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10894
402.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11852
437.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10079
372.2 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4057
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1547
26.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1702
29.4 IPS |
