MacBook Pro (16-inch, 2023)
Geekbench AI Score
4102
Single Precision Score
27272
Half Precision Score
30402
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 11 2025 06:17 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
14475
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
18229
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20045
324.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24732
400.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12748
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106123
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105186
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (HP)
|
99% |
15691
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17873
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
35698
424.2 IPS |
|
|
Face Detection (Q)
|
100% |
45011
534.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6043
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
88805
684.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
111534
871.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24864
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204849
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
194332
250.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5076
187.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42562
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51283
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4113
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4096
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4380
75.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4144
71.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3884
67.1 IPS |
