MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18015
Single Precision Score
20000
Half Precision Score
18650
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | schorschua |
| Upload Date | October 23 2025 10:18 AM |
| Views | 1 |
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% |
7953
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8270
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
7782
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19392
314.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20190
327.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19303
312.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
91314
106.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
93254
108.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
91260
106.9 IPS |
|
|
Object Detection (SP)
|
100% |
7286
577.9 IPS |
|
|
Object Detection (HP)
|
100% |
8410
667.0 IPS |
|
|
Object Detection (Q)
|
92% |
7618
608.1 IPS |
|
|
Face Detection (SP)
|
100% |
31906
379.1 IPS |
|
|
Face Detection (HP)
|
100% |
34419
409.0 IPS |
|
|
Face Detection (Q)
|
100% |
30109
357.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
38101
293.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
40715
313.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
37337
291.6 IPS |
|
|
Style Transfer (SP)
|
100% |
185931
239.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202241
260.0 IPS |
|
|
Style Transfer (Q)
|
96% |
194467
251.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24960
921.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25849
954.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22419
827.8 IPS |
|
|
Text Classification (SP)
|
100% |
2768
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4809
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4822
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2220
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2063
35.7 IPS |
