MacBook Pro (16-inch, 2023)
Geekbench AI Score
4099
Single Precision Score
27588
Half Precision Score
30312
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | TallonRain |
| Upload Date | July 29 2025 01:20 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.65 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
14906
2.77 KIPS |
|
|
Image Classification (Q)
|
96% |
17148
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20044
324.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24738
401.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12898
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
105838
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106498
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
99% |
16405
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
18068
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
35835
425.8 IPS |
|
|
Face Detection (Q)
|
100% |
41632
494.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6083
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
89337
688.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
112690
880.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24950
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
207567
266.8 IPS |
|
|
Style Transfer (Q)
|
96% |
196875
254.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5039
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43053
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50612
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4133
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4131
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4476
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4165
71.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4155
71.8 IPS |
