MacBook Pro (16-inch, 2023)
Geekbench AI Score
4175
Single Precision Score
23620
Half Precision Score
25821
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 01:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
14026
2.61 KIPS |
|
|
Image Classification (Q)
|
96% |
16154
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10224
165.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11403
184.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12997
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106403
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104379
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
99% |
15577
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17244
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3690
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
36209
430.2 IPS |
|
|
Face Detection (Q)
|
100% |
46956
557.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6276
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87507
674.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109180
853.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25041
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
207475
266.7 IPS |
|
|
Style Transfer (Q)
|
96% |
190870
246.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5089
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41024
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48753
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3956
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3932
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4622
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2119
36.6 IPS |
