MacBook Pro (14-inch, 2023)
Geekbench AI Score
4129
Single Precision Score
21035
Half Precision Score
23046
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 16 2024 09:24 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
13696
2.55 KIPS |
|
|
Image Classification (Q)
|
99% |
15553
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1678
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9325
151.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
9323
151.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12915
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102767
119.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
97684
114.6 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
99% |
14270
1.14 KIPS |
|
|
Object Detection (Q)
|
91% |
16821
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3556
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
23790
282.7 IPS |
|
|
Face Detection (Q)
|
100% |
36802
437.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6248
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73925
569.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
81972
633.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24584
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
155734
200.2 IPS |
|
|
Style Transfer (Q)
|
100% |
157432
202.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5073
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41959
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
47937
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3818
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4600
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2048
35.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2041
35.3 IPS |
