MacBook Pro (16-inch, 2023)
Geekbench AI Score
4001
Single Precision Score
26221
Half Precision Score
27649
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ITSNT |
| Upload Date | January 24 2025 03:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5055b) |
| 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 | 3.33 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
15295
2.84 KIPS |
|
|
Image Classification (Q)
|
96% |
17632
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1672
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19121
310.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15271
247.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12317
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
106806
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105935
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (HP)
|
99% |
15801
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17823
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3450
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
33546
398.6 IPS |
|
|
Face Detection (Q)
|
100% |
39242
466.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5938
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87982
677.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108767
850.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24857
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
206486
265.4 IPS |
|
|
Style Transfer (Q)
|
96% |
194862
251.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4730
174.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41688
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50136
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3735
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3680
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4300
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3348
57.9 IPS |
