MacBook Pro (16-inch, 2021)
Geekbench AI Score
3762
Single Precision Score
16573
Half Precision Score
16529
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | DerekDMacpro |
| Upload Date | June 18 2025 09:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
7060
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6855
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9787
158.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10439
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11078
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71074
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
67440
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
99% |
8075
642.3 IPS |
|
|
Object Detection (Q)
|
91% |
7495
598.9 IPS |
|
|
Face Detection (SP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
16142
191.8 IPS |
|
|
Face Detection (Q)
|
100% |
15158
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5909
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51739
398.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
54451
425.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22561
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120367
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116623
150.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4396
162.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26486
978.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28465
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3940
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3935
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3759
64.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3905
67.5 IPS |
