MacBook Pro (16-inch, 2023)
Geekbench AI Score
4192
Single Precision Score
27993
Half Precision Score
31260
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MiataRacer28 |
| Upload Date | November 02 2024 10:50 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 24B83) |
| 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 | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
13840
2.57 KIPS |
|
|
Image Classification (Q)
|
96% |
17268
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19730
319.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24603
398.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13062
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106158
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104204
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
99% |
16138
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
17811
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3647
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
36377
432.2 IPS |
|
|
Face Detection (Q)
|
100% |
46549
553.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6365
49.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88322
680.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
108969
851.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24930
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203898
262.1 IPS |
|
|
Style Transfer (Q)
|
96% |
191246
246.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5207
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42101
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50861
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4061
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4040
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4612
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5640
97.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5670
98.0 IPS |
