MacBook Pro (16-inch, 2021)
Geekbench AI Score
3626
Single Precision Score
15733
Half Precision Score
16069
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | althoor |
| Upload Date | October 27 2025 10:59 AM |
| Views | 6 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
6405
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6099
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9420
152.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10060
163.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10464
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
67992
79.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
64525
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7339
583.8 IPS |
|
|
Object Detection (Q)
|
91% |
6919
552.9 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
13437
159.7 IPS |
|
|
Face Detection (Q)
|
100% |
12762
151.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5697
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48184
371.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
49747
388.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22075
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
114937
147.8 IPS |
|
|
Style Transfer (Q)
|
96% |
108476
140.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24495
904.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25366
936.7 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4068
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4206
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2986
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4163
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5704
98.6 IPS |
