MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
20456
Single Precision Score
23195
Half Precision Score
21517
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 26 2025 08:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.99 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8982
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
9859
1.83 KIPS |
|
|
Image Classification (Q)
|
96% |
8203
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20224
327.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21037
341.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20296
329.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
88923
103.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
97530
113.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
93325
109.3 IPS |
|
|
Object Detection (SP)
|
100% |
7832
621.2 IPS |
|
|
Object Detection (HP)
|
100% |
8560
679.0 IPS |
|
|
Object Detection (Q)
|
92% |
8182
653.1 IPS |
|
|
Face Detection (SP)
|
100% |
32622
387.6 IPS |
|
|
Face Detection (HP)
|
100% |
38335
455.5 IPS |
|
|
Face Detection (Q)
|
100% |
31845
378.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38449
296.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41985
323.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
37675
294.3 IPS |
|
|
Style Transfer (SP)
|
100% |
186979
240.4 IPS |
|
|
Style Transfer (HP)
|
100% |
212775
273.5 IPS |
|
|
Style Transfer (Q)
|
96% |
204645
264.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27032
998.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26535
979.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24312
897.7 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5179
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4995
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5374
92.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5532
95.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5613
97.0 IPS |
