MacBook Pro (14-inch, 2023)
Geekbench AI Score
2277
Single Precision Score
14985
Half Precision Score
15959
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Leomotors |
| Upload Date | August 19 2024 01:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1113
207.1 IPS |
|
|
Image Classification (HP)
|
100% |
8008
1.49 KIPS |
|
|
Image Classification (Q)
|
99% |
8666
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
716
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5115
82.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
5171
83.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11217
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
92920
108.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
87848
103.0 IPS |
|
|
Object Detection (SP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (HP)
|
99% |
9363
744.8 IPS |
|
|
Object Detection (Q)
|
93% |
10044
801.4 IPS |
|
|
Face Detection (SP)
|
100% |
2018
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
11618
138.1 IPS |
|
|
Face Detection (Q)
|
100% |
13897
165.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3811
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
56243
433.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
61199
473.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13055
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
147130
189.1 IPS |
|
|
Style Transfer (Q)
|
100% |
146497
188.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2276
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20877
770.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28019
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
760
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3991
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3914
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1943
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2000
34.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1984
34.3 IPS |
