MacBook Pro (16-inch, 2023)
Geekbench AI Score
3198
Single Precision Score
4839
Half Precision Score
3995
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | TallonRain |
| Upload Date | August 18 2024 01:21 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1492
277.5 IPS |
|
|
Image Classification (HP)
|
100% |
1858
345.5 IPS |
|
|
Image Classification (Q)
|
99% |
1841
343.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1346
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6339
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
15047
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12753
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1615
128.1 IPS |
|
|
Object Detection (HP)
|
97% |
2262
180.1 IPS |
|
|
Object Detection (Q)
|
94% |
1721
137.1 IPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
4365
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
2892
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5580
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8688
67.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4179
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17049
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27144
34.9 IPS |
|
|
Style Transfer (Q)
|
100% |
27132
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3845
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4986
184.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3631
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3408
4.55 KIPS |
|
|
Text Classification (Q)
|
93% |
3385
4.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2150
37.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4734
81.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4735
81.8 IPS |
