MacBook Pro (16-inch, 2021)
Geekbench AI Score
3691
Single Precision Score
14920
Half Precision Score
14833
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 01 2025 09:34 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1316
244.8 IPS |
|
|
Image Classification (HP)
|
100% |
6980
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6613
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6417
104.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6730
109.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11032
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71214
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66744
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
99% |
7869
626.0 IPS |
|
|
Object Detection (Q)
|
91% |
7491
598.5 IPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
15824
188.0 IPS |
|
|
Face Detection (Q)
|
100% |
14968
177.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5859
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51070
393.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
54145
423.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22562
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120736
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
117212
151.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4312
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26071
962.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28039
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4002
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2153
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2174
37.6 IPS |
