MacBook Pro (16-inch, 2024)
Geekbench AI Score
5953
Single Precision Score
36129
Half Precision Score
49429
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iBob |
| Upload Date | January 28 2025 04:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2127
395.5 IPS |
|
|
Image Classification (HP)
|
100% |
18484
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
22150
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22875
370.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31382
508.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19175
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122897
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231209
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.3 IPS |
|
|
Object Detection (HP)
|
100% |
19301
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
24568
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4754
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
39027
463.7 IPS |
|
|
Face Detection (Q)
|
100% |
60192
715.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9119
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105621
813.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
179216
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
37079
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232434
298.8 IPS |
|
|
Style Transfer (Q)
|
96% |
296902
383.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7205
266.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45313
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79251
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5338
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5277
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6133
105.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16303
280.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16464
284.5 IPS |
