MacBook Pro (16-inch, 2023)
Geekbench AI Score
2343
Single Precision Score
15514
Half Precision Score
16441
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | TallonRain |
| Upload Date | August 18 2024 01:38 AM |
| Views | 15 |
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 (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.39 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1133
210.7 IPS |
|
|
Image Classification (HP)
|
100% |
8575
1.59 KIPS |
|
|
Image Classification (Q)
|
99% |
9129
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5221
84.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
5204
84.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11359
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
93602
109.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
88785
104.1 IPS |
|
|
Object Detection (SP)
|
100% |
1259
99.8 IPS |
|
|
Object Detection (HP)
|
99% |
9764
776.7 IPS |
|
|
Object Detection (Q)
|
93% |
10464
834.9 IPS |
|
|
Face Detection (SP)
|
100% |
2103
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
12028
142.9 IPS |
|
|
Face Detection (Q)
|
100% |
13938
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3742
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
57212
440.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
62207
481.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13280
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
148838
191.3 IPS |
|
|
Style Transfer (Q)
|
100% |
148746
191.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2294
84.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21478
793.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28556
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4365
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4338
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1969
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2057
35.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2047
35.4 IPS |
