MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19841
Single Precision Score
22421
Half Precision Score
20879
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | rrevi |
| Upload Date | January 15 2026 04:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.06 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8299
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
9004
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
7873
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19522
316.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20353
329.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19895
322.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
88306
103.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
97181
113.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
92968
108.9 IPS |
|
|
Object Detection (SP)
|
100% |
7376
585.0 IPS |
|
|
Object Detection (HP)
|
100% |
8047
638.3 IPS |
|
|
Object Detection (Q)
|
92% |
7760
619.4 IPS |
|
|
Face Detection (SP)
|
100% |
32722
388.8 IPS |
|
|
Face Detection (HP)
|
100% |
37362
443.9 IPS |
|
|
Face Detection (Q)
|
100% |
31109
369.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
38145
293.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41323
318.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37245
290.9 IPS |
|
|
Style Transfer (SP)
|
100% |
182560
234.7 IPS |
|
|
Style Transfer (HP)
|
100% |
204901
263.4 IPS |
|
|
Style Transfer (Q)
|
96% |
199758
257.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25128
927.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25483
941.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21821
805.7 IPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5070
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5029
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5220
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5481
94.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5487
94.8 IPS |
