MacBook Pro (16-inch, 2021)
Geekbench AI Score
3671
Single Precision Score
5858
Half Precision Score
4678
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mantis30pl |
| Upload Date | May 02 2025 03:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.16 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1339
249.0 IPS |
|
|
Image Classification (HP)
|
100% |
2009
373.5 IPS |
|
|
Image Classification (Q)
|
96% |
1453
271.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2583
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10963
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21987
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17355
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2285
181.9 IPS |
|
|
Object Detection (Q)
|
94% |
1664
132.6 IPS |
|
|
Face Detection (SP)
|
100% |
3261
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
5237
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
3015
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5658
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10175
78.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7069
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21933
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34375
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27080
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4426
163.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5805
214.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4106
151.6 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3991
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3981
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3086
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4889
84.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4918
85.0 IPS |
