MacBook Pro (16-inch, 2021)
Geekbench AI Score
3674
Single Precision Score
16389
Half Precision Score
16338
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | WooYoung |
| Upload Date | June 04 2025 01:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1361
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
6762
1.26 KIPS |
|
|
Image Classification (Q)
|
96% |
6451
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9697
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10434
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11025
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
72230
84.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
68178
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
99% |
7902
628.6 IPS |
|
|
Object Detection (Q)
|
91% |
7377
589.4 IPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
15713
186.7 IPS |
|
|
Face Detection (Q)
|
100% |
15025
178.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5695
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
52073
401.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53574
418.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21907
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121590
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
117678
151.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4338
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25706
949.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27853
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3961
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3160
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3689
63.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3831
66.2 IPS |
