MacBook Pro (16-inch, 2021)
Geekbench AI Score
3609
Single Precision Score
15465
Half Precision Score
15634
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jchillari |
| Upload Date | December 13 2025 11:14 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1319
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
6283
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5759
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9285
150.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9897
160.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10511
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
68013
79.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
64729
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
6909
549.6 IPS |
|
|
Object Detection (Q)
|
91% |
6498
519.2 IPS |
|
|
Face Detection (SP)
|
100% |
3330
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
13135
156.1 IPS |
|
|
Face Detection (Q)
|
100% |
12231
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5710
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
44837
345.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
46424
362.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22178
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
115275
148.2 IPS |
|
|
Style Transfer (Q)
|
96% |
108713
140.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4145
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24299
897.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24865
918.1 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4161
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4106
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2823
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4160
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5777
99.8 IPS |
