MacBook Pro (16-inch, 2021)
Geekbench AI Score
3635
Single Precision Score
15481
Half Precision Score
15117
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | returnf4lse |
| Upload Date | July 08 2025 11:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1368
254.3 IPS |
|
|
Image Classification (HP)
|
100% |
6004
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5778
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9192
149.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9885
160.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10939
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
68514
79.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65764
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
99% |
6587
523.9 IPS |
|
|
Object Detection (Q)
|
91% |
6451
515.4 IPS |
|
|
Face Detection (SP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
12640
150.2 IPS |
|
|
Face Detection (Q)
|
100% |
12375
147.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5818
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47324
364.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
46948
366.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22572
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
115766
148.8 IPS |
|
|
Style Transfer (Q)
|
96% |
109741
141.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4208
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24682
911.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25678
948.2 IPS |
|
|
Text Classification (SP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (HP)
|
99% |
3680
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3679
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2898
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5050
87.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4273
73.8 IPS |
