MacBook Pro (14-inch, 2021)
Geekbench AI Score
3750
Single Precision Score
5817
Half Precision Score
4971
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | highlander |
| Upload Date | December 25 2024 07:14 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1324
246.2 IPS |
|
|
Image Classification (HP)
|
100% |
1987
369.5 IPS |
|
|
Image Classification (Q)
|
99% |
2007
374.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2399
38.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2393
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11019
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21752
25.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17029
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2358
187.7 IPS |
|
|
Object Detection (Q)
|
94% |
1733
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
5330
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
3119
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5809
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10712
82.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
10671
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22526
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35250
45.3 IPS |
|
|
Style Transfer (Q)
|
100% |
35448
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4368
161.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6347
234.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4021
149.0 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3922
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3900
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3626
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3515
60.8 IPS |
