MacBook Pro (16-inch, 2021)
Geekbench AI Score
3678
Single Precision Score
16635
Half Precision Score
16485
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mantis30pl |
| Upload Date | May 02 2025 03:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
7173
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
6764
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9661
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10426
169.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10877
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
72013
84.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67515
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
8061
641.2 IPS |
|
|
Object Detection (Q)
|
91% |
7564
604.4 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
15936
189.4 IPS |
|
|
Face Detection (Q)
|
100% |
14812
176.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
52058
401.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53423
417.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21930
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120969
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
117076
151.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4427
163.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26112
964.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27987
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4105
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4081
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3891
67.2 IPS |
