MacBook Pro (14-inch, 2023)
Geekbench AI Score
4163
Single Precision Score
20908
Half Precision Score
23090
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tntoak |
| Upload Date | August 16 2024 04:49 PM |
| Views | 14 |
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% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
13329
2.48 KIPS |
|
|
Image Classification (Q)
|
99% |
15633
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9302
150.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
9315
151.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13026
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
102730
119.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
97610
114.5 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
99% |
14048
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
17154
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
23741
282.1 IPS |
|
|
Face Detection (Q)
|
100% |
36903
438.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6368
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73451
565.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
81813
632.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24832
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
157817
202.9 IPS |
|
|
Style Transfer (Q)
|
100% |
157943
203.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5081
187.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41609
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
48587
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3853
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3796
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4615
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2023
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2009
34.7 IPS |
