MacBook Pro (16-inch, 2021)
Geekbench AI Score
12109
Single Precision Score
13550
Half Precision Score
12436
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | June 26 2025 08:29 PM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5014
932.5 IPS |
|
|
Image Classification (HP)
|
100% |
5115
951.2 IPS |
|
|
Image Classification (Q)
|
96% |
4716
880.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11804
191.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12091
196.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11377
184.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
56992
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
62249
72.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59368
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
5156
409.0 IPS |
|
|
Object Detection (HP)
|
100% |
5302
420.6 IPS |
|
|
Object Detection (Q)
|
92% |
4958
395.7 IPS |
|
|
Face Detection (SP)
|
100% |
20972
249.2 IPS |
|
|
Face Detection (HP)
|
100% |
21930
260.6 IPS |
|
|
Face Detection (Q)
|
100% |
18882
224.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26141
201.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27785
214.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
25771
201.3 IPS |
|
|
Style Transfer (SP)
|
100% |
96451
124.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121482
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
118615
153.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16773
619.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17691
653.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15483
571.7 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4027
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1939
33.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1565
27.0 IPS |
