MacBook Pro (16-inch, 2021)
Geekbench AI Score
3615
Single Precision Score
15816
Half Precision Score
15691
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | marcussiemens |
| Upload Date | October 04 2025 06:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.15 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
6090
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
6030
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9182
148.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9755
158.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10360
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
70044
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66133
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (HP)
|
99% |
6872
546.7 IPS |
|
|
Object Detection (Q)
|
91% |
6450
515.4 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
12720
151.1 IPS |
|
|
Face Detection (Q)
|
100% |
12181
144.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5621
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46777
360.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
47590
371.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22323
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
118428
152.2 IPS |
|
|
Style Transfer (Q)
|
96% |
112700
145.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4194
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25149
928.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26103
963.9 IPS |
|
|
Text Classification (SP)
|
100% |
2400
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4262
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4227
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3039
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4820
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5003
86.5 IPS |
