MacBook Pro (14-inch, 2023)
Geekbench AI Score
4340
Single Precision Score
24168
Half Precision Score
26471
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 02:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1461
271.8 IPS |
|
|
Image Classification (HP)
|
100% |
14983
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
17726
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10310
167.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11517
186.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12944
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
106866
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105354
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
99% |
16687
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
18461
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3813
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
36613
435.0 IPS |
|
|
Face Detection (Q)
|
100% |
46699
554.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6257
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
88918
685.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
111514
871.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26457
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
207413
266.6 IPS |
|
|
Style Transfer (Q)
|
96% |
193436
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5460
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43439
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50760
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4848
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2084
35.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2071
35.8 IPS |
