MacBook Pro (16-inch, 2021)
Geekbench AI Score
3749
Single Precision Score
4570
Half Precision Score
3865
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | wynnr |
| Upload Date | March 27 2025 04:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
3047
566.6 IPS |
|
|
Image Classification (Q)
|
96% |
2633
491.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6023
97.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
384
6.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
11014
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
55031
64.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
62835
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
608
48.4 IPS |
|
|
Object Detection (Q)
|
91% |
411
32.9 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
1657
19.7 IPS |
|
|
Face Detection (Q)
|
100% |
1163
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5866
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19951
153.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
24874
194.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22182
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13031
16.8 IPS |
|
|
Style Transfer (Q)
|
96% |
73343
94.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4379
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14972
552.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14452
533.7 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4017
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (Q)
|
98% |
232
4.00 IPS |
