MacBook Pro (16-inch, 2021)
Geekbench AI Score
3614
Single Precision Score
5991
Half Precision Score
4819
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | urogomphi |
| Upload Date | December 21 2025 09:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1314
244.3 IPS |
|
|
Image Classification (HP)
|
100% |
2050
381.3 IPS |
|
|
Image Classification (Q)
|
96% |
1505
281.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2600
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10591
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
23064
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17760
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.4 IPS |
|
|
Object Detection (HP)
|
97% |
2344
186.6 IPS |
|
|
Object Detection (Q)
|
94% |
1726
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5470
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3168
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5656
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10536
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7304
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22171
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35248
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28066
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4132
152.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5571
205.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4048
149.5 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4107
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4125
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3050
52.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5139
88.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5200
89.9 IPS |
