MacBook Pro (16-inch, 2021)
Geekbench AI Score
3662
Single Precision Score
16466
Half Precision Score
16508
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 21 2025 06:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
6954
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6701
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9696
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10433
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10943
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70162
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
67691
79.3 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
99% |
8007
636.9 IPS |
|
|
Object Detection (Q)
|
91% |
7520
600.8 IPS |
|
|
Face Detection (SP)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
15752
187.2 IPS |
|
|
Face Detection (Q)
|
100% |
14996
178.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5756
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51824
399.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
54107
422.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21919
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121027
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
117423
151.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4353
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26023
960.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28408
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4057
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4029
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3875
67.0 IPS |
