MacBook Pro (16-inch, 2021)
Geekbench AI Score
10878
Single Precision Score
12139
Half Precision Score
11188
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | krshnndu |
| Upload Date | June 09 2025 05:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4416
821.3 IPS |
|
|
Image Classification (HP)
|
100% |
4468
830.9 IPS |
|
|
Image Classification (Q)
|
96% |
3968
741.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10037
162.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9793
158.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9532
154.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
47344
55.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
50923
59.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
48804
57.2 IPS |
|
|
Object Detection (SP)
|
100% |
4574
362.8 IPS |
|
|
Object Detection (HP)
|
100% |
4822
382.5 IPS |
|
|
Object Detection (Q)
|
92% |
4511
360.1 IPS |
|
|
Face Detection (SP)
|
100% |
18139
215.5 IPS |
|
|
Face Detection (HP)
|
100% |
19019
226.0 IPS |
|
|
Face Detection (Q)
|
100% |
16068
190.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23396
180.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24563
189.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
22601
176.5 IPS |
|
|
Style Transfer (SP)
|
100% |
80138
103.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96463
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
94357
121.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15670
578.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16083
593.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14393
531.5 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3984
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1980
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2227
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1879
32.5 IPS |
