MacBook Pro (14-inch, 2021)
Geekbench AI Score
3879
Single Precision Score
6040
Half Precision Score
4886
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sw0000 |
| Upload Date | January 26 2025 11:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1377
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
2112
392.8 IPS |
|
|
Image Classification (Q)
|
96% |
1543
288.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2758
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11123
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22593
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17249
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1645
130.5 IPS |
|
|
Object Detection (HP)
|
97% |
2465
196.2 IPS |
|
|
Object Detection (Q)
|
94% |
1815
144.7 IPS |
|
|
Face Detection (SP)
|
100% |
3400
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
5444
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3270
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6008
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11254
87.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7558
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23316
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36546
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27141
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4574
168.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6559
242.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4245
156.8 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4017
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4000
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3754
64.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5120
88.5 IPS |
