MacBook Pro (16-inch, 2021)
Geekbench AI Score
3599
Single Precision Score
12847
Half Precision Score
12902
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 10 2026 06:10 PM |
| Views | 4 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1325
246.3 IPS |
|
|
Image Classification (HP)
|
100% |
4541
844.5 IPS |
|
|
Image Classification (Q)
|
96% |
4218
787.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8024
130.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9212
149.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10366
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
62158
72.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
61962
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
6466
514.3 IPS |
|
|
Object Detection (Q)
|
91% |
6383
510.0 IPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
11641
138.3 IPS |
|
|
Face Detection (Q)
|
100% |
11158
132.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5685
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33002
254.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
32863
256.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21929
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
98990
127.3 IPS |
|
|
Style Transfer (Q)
|
96% |
98424
127.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4129
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14307
528.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14816
547.1 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4156
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4168
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2947
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3700
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3734
64.5 IPS |
