MacBook Pro (16-inch, 2021)
Geekbench AI Score
7634
Single Precision Score
8442
Half Precision Score
7571
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | superlid |
| Upload Date | March 15 2025 08:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4051
753.3 IPS |
|
|
Image Classification (HP)
|
100% |
4098
762.0 IPS |
|
|
Image Classification (Q)
|
97% |
3508
654.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6308
102.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6456
104.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6438
104.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32776
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34808
40.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
32448
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3610
286.4 IPS |
|
|
Object Detection (HP)
|
100% |
3797
301.1 IPS |
|
|
Object Detection (Q)
|
91% |
3475
277.7 IPS |
|
|
Face Detection (SP)
|
100% |
13913
165.3 IPS |
|
|
Face Detection (HP)
|
100% |
14680
174.4 IPS |
|
|
Face Detection (Q)
|
100% |
10589
125.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20058
154.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21092
162.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
17577
137.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53911
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63993
82.3 IPS |
|
|
Style Transfer (Q)
|
96% |
60059
77.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10864
401.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11359
419.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8872
327.6 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3897
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
98% |
629
10.9 IPS |
