MacBook Pro (16-inch, 2023)
Geekbench AI Score
4120
Single Precision Score
26879
Half Precision Score
29824
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | kei3000 |
| Upload Date | August 18 2025 02:00 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 3.68 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
13778
2.56 KIPS |
|
|
Image Classification (Q)
|
96% |
15779
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1638
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19874
322.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24662
399.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12968
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
105450
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104186
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.6 IPS |
|
|
Object Detection (HP)
|
99% |
15492
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17349
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
35223
418.5 IPS |
|
|
Face Detection (Q)
|
100% |
45715
543.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6173
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87837
676.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
108210
845.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24994
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203088
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
184628
238.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5018
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41082
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49159
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4055
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4036
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4412
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4205
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4369
75.5 IPS |
