MacBook Pro (16-inch, 2021)
Geekbench AI Score
3665
Single Precision Score
16389
Half Precision Score
16469
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | deepakdpk6 |
| Upload Date | June 20 2025 04:23 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
6887
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6731
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9689
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10437
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11051
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70357
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67816
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.3 IPS |
|
|
Object Detection (HP)
|
99% |
7952
632.6 IPS |
|
|
Object Detection (Q)
|
91% |
7522
601.0 IPS |
|
|
Face Detection (SP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
15837
188.2 IPS |
|
|
Face Detection (Q)
|
100% |
15163
180.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5732
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51367
395.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53086
414.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22019
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120521
154.9 IPS |
|
|
Style Transfer (Q)
|
96% |
116261
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4327
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25435
939.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28192
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4068
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4049
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3089
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3692
63.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3835
66.3 IPS |
