MacBook Pro (16-inch, 2021)
Geekbench AI Score
3600
Single Precision Score
15787
Half Precision Score
15841
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 26 2025 03:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1326
246.6 IPS |
|
|
Image Classification (HP)
|
100% |
6189
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
6045
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9235
149.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9854
159.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10434
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
68106
79.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
62815
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
99% |
6917
550.2 IPS |
|
|
Object Detection (Q)
|
91% |
6781
541.9 IPS |
|
|
Face Detection (SP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
12830
152.4 IPS |
|
|
Face Detection (Q)
|
100% |
12153
144.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5702
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
44927
346.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
46643
364.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22062
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
115813
148.9 IPS |
|
|
Style Transfer (Q)
|
96% |
111639
144.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23916
883.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26470
977.4 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4188
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4225
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5344
92.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5542
95.8 IPS |
