MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18309
Single Precision Score
20576
Half Precision Score
18874
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 18 2025 06:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7479
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7641
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
7291
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19562
317.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20261
328.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19539
316.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
91513
106.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
92958
108.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
90935
106.5 IPS |
|
|
Object Detection (SP)
|
100% |
7228
573.3 IPS |
|
|
Object Detection (HP)
|
100% |
8208
651.0 IPS |
|
|
Object Detection (Q)
|
92% |
7327
584.8 IPS |
|
|
Face Detection (SP)
|
100% |
31012
368.5 IPS |
|
|
Face Detection (HP)
|
100% |
37578
446.5 IPS |
|
|
Face Detection (Q)
|
100% |
30315
360.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
37480
288.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
39797
306.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
37038
289.3 IPS |
|
|
Style Transfer (SP)
|
100% |
183673
236.1 IPS |
|
|
Style Transfer (HP)
|
100% |
200456
257.7 IPS |
|
|
Style Transfer (Q)
|
96% |
191594
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23605
871.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24302
897.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21483
793.3 IPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4802
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4686
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2791
48.2 IPS |
