MacBook Pro (16-inch, 2021)
Geekbench AI Score
3590
Single Precision Score
13136
Half Precision Score
12932
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 12 2025 10:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.1 IPS |
|
|
Image Classification (HP)
|
100% |
4820
896.4 IPS |
|
|
Image Classification (Q)
|
96% |
4359
814.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7928
128.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9186
148.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10513
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
62152
72.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
61855
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
6630
527.4 IPS |
|
|
Object Detection (Q)
|
91% |
6443
514.8 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
11875
141.1 IPS |
|
|
Face Detection (Q)
|
100% |
11354
134.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5698
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33403
257.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
32827
256.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22092
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
106476
136.9 IPS |
|
|
Style Transfer (Q)
|
96% |
98500
127.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4100
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14275
527.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14094
520.4 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4259
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4189
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2996
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3786
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3784
65.4 IPS |
