MacBook Pro (16-inch, 2023)
Geekbench AI Score
14663
Single Precision Score
15894
Half Precision Score
14587
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MiataRacer28 |
| Upload Date | November 02 2024 10:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6861
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7156
1.33 KIPS |
|
|
Image Classification (Q)
|
97% |
5976
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12523
203.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12374
200.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12365
200.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
83318
97.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
87103
101.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
82005
96.1 IPS |
|
|
Object Detection (SP)
|
100% |
6584
522.2 IPS |
|
|
Object Detection (HP)
|
100% |
6744
534.9 IPS |
|
|
Object Detection (Q)
|
91% |
5912
472.4 IPS |
|
|
Face Detection (SP)
|
100% |
28162
334.6 IPS |
|
|
Face Detection (HP)
|
100% |
29334
348.6 IPS |
|
|
Face Detection (Q)
|
100% |
21509
255.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33627
259.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34502
265.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
28895
225.8 IPS |
|
|
Style Transfer (SP)
|
100% |
135919
174.7 IPS |
|
|
Style Transfer (HP)
|
100% |
153102
196.8 IPS |
|
|
Style Transfer (Q)
|
96% |
142769
184.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20286
749.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21139
780.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17157
633.5 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4029
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1619
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1986
34.3 IPS |
