MacBook Pro (16-inch, 2021)
Geekbench AI Score
3725
Single Precision Score
16488
Half Precision Score
16391
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | March 28 2025 12:52 PM |
| Views | 3 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1327
246.8 IPS |
|
|
Image Classification (HP)
|
100% |
7090
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6777
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9817
159.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10452
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10818
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
71035
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
67251
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
99% |
8026
638.4 IPS |
|
|
Object Detection (Q)
|
91% |
7584
606.0 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
15731
186.9 IPS |
|
|
Face Detection (Q)
|
100% |
14512
172.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5784
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51499
396.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
53550
418.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22162
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120344
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116177
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4346
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26408
975.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28765
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4062
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4084
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3655
63.2 IPS |
