MacBook Pro (16-inch, 2021)
Geekbench AI Score
3788
Single Precision Score
16408
Half Precision Score
16245
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | returnf4lse |
| Upload Date | February 08 2025 11:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.07 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
6713
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6424
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9644
156.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10245
166.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11400
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
72015
84.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65940
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1616
128.1 IPS |
|
|
Object Detection (HP)
|
99% |
7934
631.1 IPS |
|
|
Object Detection (Q)
|
91% |
7413
592.4 IPS |
|
|
Face Detection (SP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
16075
191.0 IPS |
|
|
Face Detection (Q)
|
100% |
15399
183.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5890
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52039
400.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53672
419.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22522
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121579
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
117534
151.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4468
165.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25779
951.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27903
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3878
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3664
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3787
65.4 IPS |
