MacBook Pro (16-inch, 2021)
Geekbench AI Score
3674
Single Precision Score
5863
Half Precision Score
4726
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | jobieh |
| Upload Date | July 15 2025 07:31 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (Q)
|
96% |
1512
282.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2602
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11068
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22485
26.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17442
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2311
184.0 IPS |
|
|
Object Detection (Q)
|
94% |
1713
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
5095
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
3043
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5771
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10336
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7196
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22000
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32673
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27195
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4330
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4114
151.9 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3987
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3086
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4784
82.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4841
83.7 IPS |
