MacBook Pro (14-inch, 2023)
Geekbench AI Score
4147
Single Precision Score
20998
Half Precision Score
23090
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 16 2024 10:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
14323
2.66 KIPS |
|
|
Image Classification (Q)
|
99% |
15618
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9322
151.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
9331
151.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12966
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102789
119.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
97346
114.2 IPS |
|
|
Object Detection (SP)
|
100% |
1695
134.4 IPS |
|
|
Object Detection (HP)
|
99% |
13858
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
16680
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3546
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
23814
283.0 IPS |
|
|
Face Detection (Q)
|
100% |
36764
436.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6259
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
73499
566.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
81838
632.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24799
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
156695
201.4 IPS |
|
|
Style Transfer (Q)
|
100% |
156282
200.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5076
187.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40498
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
49434
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3850
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3835
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4611
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2043
35.3 IPS |
