MacBook Pro (16-inch, 2021)
Geekbench AI Score
3654
Single Precision Score
16451
Half Precision Score
16334
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | pingwinator |
| Upload Date | May 18 2025 04:12 PM |
| Views | 9 |
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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
6738
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6449
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9588
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10246
166.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10906
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
71931
83.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
68212
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
99% |
7940
631.6 IPS |
|
|
Object Detection (Q)
|
91% |
7438
594.3 IPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
15725
186.8 IPS |
|
|
Face Detection (Q)
|
100% |
14525
172.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5686
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
52263
402.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53449
417.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22035
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121730
156.5 IPS |
|
|
Style Transfer (Q)
|
96% |
117586
151.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4376
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26252
969.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28431
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4022
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3066
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3724
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3865
66.8 IPS |
