MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19909
Single Precision Score
22496
Half Precision Score
20983
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 09:14 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8484
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
8583
1.60 KIPS |
|
|
Image Classification (Q)
|
96% |
7909
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19910
322.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20631
334.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19703
319.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
92007
107.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
93716
109.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
91430
107.1 IPS |
|
|
Object Detection (SP)
|
100% |
7605
603.2 IPS |
|
|
Object Detection (HP)
|
100% |
8594
681.7 IPS |
|
|
Object Detection (Q)
|
92% |
8260
659.3 IPS |
|
|
Face Detection (SP)
|
100% |
31652
376.1 IPS |
|
|
Face Detection (HP)
|
100% |
36176
429.9 IPS |
|
|
Face Detection (Q)
|
100% |
30666
364.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
40234
310.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
40923
315.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37929
296.3 IPS |
|
|
Style Transfer (SP)
|
100% |
188764
242.7 IPS |
|
|
Style Transfer (HP)
|
100% |
206788
265.8 IPS |
|
|
Style Transfer (Q)
|
96% |
195412
252.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25186
930.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26185
966.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23271
859.3 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5484
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5678
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4738
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5295
91.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4682
80.9 IPS |
