MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
18249
Single Precision Score
20401
Half Precision Score
18885
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gpt |
| Upload Date | September 10 2025 08:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8266
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
8572
1.59 KIPS |
|
|
Image Classification (Q)
|
96% |
8263
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19693
319.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20597
333.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19490
316.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
91433
106.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
93788
109.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
91580
107.3 IPS |
|
|
Object Detection (SP)
|
100% |
7317
580.4 IPS |
|
|
Object Detection (HP)
|
100% |
8433
668.9 IPS |
|
|
Object Detection (Q)
|
92% |
7385
589.5 IPS |
|
|
Face Detection (SP)
|
100% |
31982
380.0 IPS |
|
|
Face Detection (HP)
|
100% |
33979
403.7 IPS |
|
|
Face Detection (Q)
|
100% |
30528
362.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
37956
292.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
40251
310.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
37379
292.0 IPS |
|
|
Style Transfer (SP)
|
100% |
187622
241.2 IPS |
|
|
Style Transfer (HP)
|
100% |
202840
260.8 IPS |
|
|
Style Transfer (Q)
|
96% |
195301
252.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25375
937.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26443
976.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22852
843.8 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5309
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5470
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2297
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1902
32.9 IPS |
