MacBook Pro (16-inch, 2021)
Geekbench AI Score
12104
Single Precision Score
13585
Half Precision Score
12763
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | adammurnane |
| Upload Date | October 29 2025 05:44 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5105
949.4 IPS |
|
|
Image Classification (HP)
|
100% |
5059
940.8 IPS |
|
|
Image Classification (Q)
|
96% |
4752
887.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
11800
191.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12160
197.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11523
186.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
57085
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
62269
72.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59494
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
5158
409.1 IPS |
|
|
Object Detection (HP)
|
100% |
5332
422.9 IPS |
|
|
Object Detection (Q)
|
92% |
4918
392.6 IPS |
|
|
Face Detection (SP)
|
100% |
21537
255.9 IPS |
|
|
Face Detection (HP)
|
100% |
22444
266.7 IPS |
|
|
Face Detection (Q)
|
100% |
19447
231.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26171
201.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27856
214.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
25402
198.4 IPS |
|
|
Style Transfer (SP)
|
100% |
96556
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121755
156.5 IPS |
|
|
Style Transfer (Q)
|
96% |
118258
152.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16686
616.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17784
656.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15691
579.4 IPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4169
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4136
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1777
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1858
32.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1889
32.6 IPS |
