MacBook Pro (14-inch, 2021)
Geekbench AI Score
3734
Single Precision Score
5826
Half Precision Score
4725
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dgbrownnt |
| Upload Date | September 19 2024 12:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (HP)
|
100% |
2017
375.1 IPS |
|
|
Image Classification (Q)
|
96% |
1465
273.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2667
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11198
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22401
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16839
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2363
188.1 IPS |
|
|
Object Detection (Q)
|
94% |
1728
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5032
59.8 IPS |
|
|
Face Detection (Q)
|
100% |
3044
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5835
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10874
84.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7429
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22321
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35350
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27233
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4419
163.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6390
235.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4073
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3922
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3591
62.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4967
85.8 IPS |
