MacBook Pro (16-inch, 2023)
Geekbench AI Score
4165
Single Precision Score
23523
Half Precision Score
25826
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | lumisade |
| Upload Date | November 15 2024 06:05 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
13725
2.55 KIPS |
|
|
Image Classification (Q)
|
96% |
16432
3.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10238
166.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11385
184.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12918
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
105938
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104349
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1707
135.4 IPS |
|
|
Object Detection (HP)
|
99% |
15451
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17202
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3582
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
36489
433.6 IPS |
|
|
Face Detection (Q)
|
100% |
46503
552.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6375
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87744
676.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
109073
852.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24720
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204224
262.5 IPS |
|
|
Style Transfer (Q)
|
96% |
190679
246.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5084
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40969
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48694
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3966
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3934
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4629
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2123
36.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2122
36.7 IPS |
