MacBook Pro (16-inch, 2021)
Geekbench AI Score
3663
Single Precision Score
16434
Half Precision Score
16410
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | uladzislau_dzerzh |
| Upload Date | April 13 2025 01:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
6856
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6587
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9702
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10439
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11157
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69658
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
67726
79.4 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
8005
636.7 IPS |
|
|
Object Detection (Q)
|
91% |
7503
599.5 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
16095
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15129
179.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5763
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50701
390.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
53143
415.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21906
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121229
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115701
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26165
966.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28074
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4009
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3871
66.9 IPS |
