MacBook Pro (16-inch, 2023)
Geekbench AI Score
16157
Single Precision Score
18019
Half Precision Score
16721
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | fearlipe |
| Upload Date | October 15 2025 02:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
7095
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
6977
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6288
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14125
229.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13744
222.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13139
213.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
82228
95.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
89604
104.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
86784
101.7 IPS |
|
|
Object Detection (SP)
|
100% |
6223
493.6 IPS |
|
|
Object Detection (HP)
|
100% |
6615
524.7 IPS |
|
|
Object Detection (Q)
|
92% |
6232
497.5 IPS |
|
|
Face Detection (SP)
|
100% |
28256
335.7 IPS |
|
|
Face Detection (HP)
|
100% |
28969
344.2 IPS |
|
|
Face Detection (Q)
|
100% |
24734
293.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33450
257.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34824
268.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
30802
240.6 IPS |
|
|
Style Transfer (SP)
|
100% |
134857
173.4 IPS |
|
|
Style Transfer (HP)
|
100% |
154174
198.2 IPS |
|
|
Style Transfer (Q)
|
96% |
150129
193.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20268
748.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23039
850.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20076
741.3 IPS |
|
|
Text Classification (SP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4171
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4110
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4053
70.0 IPS |
