MacBook Pro (16-inch, 2023)
Geekbench AI Score
4027
Single Precision Score
28027
Half Precision Score
31169
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 05:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.57 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1313
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
15195
2.83 KIPS |
|
|
Image Classification (Q)
|
96% |
18288
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1663
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20182
327.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24640
399.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11334
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
107039
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106382
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
99% |
16409
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
18186
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
37077
440.6 IPS |
|
|
Face Detection (Q)
|
100% |
48134
571.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6137
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
89346
688.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
111852
874.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25485
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204742
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
193542
249.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4858
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45572
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52160
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2452
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4246
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4125
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4386
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4231
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4428
76.5 IPS |
